Kolaveri Di Social Analytics Findings & Insights

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1. Why did the video go viral?
a. The Marketing Activities Done by Sony and Societal Factors

Two weeks before the official release, Kolaveri Di music video was leaked but Sony was able to tap on this opportunity. The social connection of Sony played a big part in the spread of the video. Sony had more than 200,000 followers on Facebook, which was a good ground to reach out to the audience. Heavy marketing activities were done by Sony on its social media platforms; it posted the official song on Tamil, Hindi, and International Facebook pages to drive interest and engagement. As a result, the twitter mentions rose by 200% everyday.


b. The Content of Kolaveri Di

No Factor Description How was it shown in Kolaveri Di
1 Emotion Content should be able to build some emotional connection with the viewers and provoke emotions from the viewer (e.g. fun, anger, sadness) Video conveyed a feeling of heartbreak, but it was still fun to watch.
2 Surprise Content should not be predictable; if so, the viewers would easily “bounce” out from the content without finishing it Video was different from other Indian videos or bollywood films, wherein a lot of clichés are used.
3 Intensity It is important to grab the audience’s attention from the beginning, and to keep it through brevity and density. The non-sensical lyrics, the foot-tapping kind of beat.. it was simple but intriguing and hooked the people
4 Relevance Content should be relevant to the target audience. Thinking in their perspectives is more important than focusing solely on the messages. “Is there anyone who hasn’t experienced a heartbreak?” People would connect better to the guy in Kolaveri Di, than other handsome actors shown in movies.
5 Validation People tend to share things that support their own perspectives, and that represent their beliefs and opinions. 72% of the viewers were male, as they found the content more relevant and connecting to them.
6 Style The style of how the content is presented is important. Is it presentable? Funny? Engaging? Video was kept simple, catchy and fun.


c. Networks Formed in Twitter

Networks among the users could be quickly formed which triggered the spread the video faster than expected. In Twitter, the networks will begin with one user following another user, be it both individual user or corporate user (i.e. SonyMusic). A relation is to be formed when the users direct their messages at other users through a mention (syntax “@[username]”) or retweet other users’ tweets (syntax “RT @[username]”). Hashtag (syntax “#[word]”) is used when users talk about a common topic.


2. Who are the influencers?
a. The Kolaveri Di Team

Dhanush K. Raja (@dhanushkraja)
He was the singer of “Why this Kolaveri Di” and he wrote most of the lyrics of the song. He was the main actor of the movie 3.

Aishwaryaa R. Dhanush (@ash_r_dhanush)
She was the director of her first feature film 3. She appeared in the music video, listening to the singing in the background.

Anirudh Ravichander (@anirudhravichander —> @anirudhofficial)
He made his debut in the movie 3, as the composer of the song. In the music video, he was on the keyboard while Dhanush was singing.

Shruti Haasan (@shrutihaasan)
She is the co-star of the movie 3, together with Dhanush. She makes an appearance towards the end of the music video.


b. Bachchan Family
Amitabh Bachchan (@SrBachchan)
He made a few undirected tweets, mentioning about how he liked Kolaveri Di.

Jhakaas Nandu (@juniorbachchan)
He directed his tweet to a Kolaveri member, saying that he is a fan of Kolaveri Di.


c. Ordinary Users
Padma Akula (@padhuu —> @padmaakula)
Organized a Kolaveri Di flash mob in Auckland & made repetitive tweets to the different users to spread the word about it

Cynthia Collins (@cynthiacollins2), Dallas Sharko (@dallassharkoAFY), Linh Gromley (@linhgromleyDTCO)
All three made repetitive tweets about Nivaan Nigam’s cover of Kolaveri Di


Findings

  • Under the eigenvector centrality, the Kolaveri Team stays top most of the time but during certain time periods, new influencers appear.

KD Eigenvector Findings.png


  • Under the out degree centrality, people who are high in out-degree tend to spam their tweets at one period and disappear in other periods. They are mainly the ordinary users.


KD Outdegree Findings.png


  • Under the betweenness centrality, we realise that betweenness alone is not a strong indicator of an influencer over time. Only Dhanush remains top of the list during the whole period.


KD Betweenness Findings.png



3. What implications does this project have?